LLM Research Papers: The 2026 List (January to May)
Sebastian Raschka released a curated list of LLM research papers published from January to May 2026, highlighting breakthroughs in hybrid architectures, state‑space models, and agent‑centric systems. The list spotlights Nemotron 3’s hybrid attention‑Mamba design, new Mamba‑3 and Gated DeltaNet‑2 layers, and scaling strategies that favor embedding growth over expert scaling. It also notes a shift toward long‑context efficiency, tool‑use agents, and diffusion language models. While not exhaustive, the collection serves as a practical reference for researchers and engineers tracking rapid advances in large‑language‑model technology.
My Workflow for Understanding LLM Architectures
The author outlines a hands‑on workflow for decoding large language model (LLM) architectures, starting with official papers but quickly shifting to Hugging Face model‑hub config files and the Transformers codebase when papers lack detail. By inspecting the configuration and runnable reference...